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Quantifying the nighttime economy–housing separation from a human activity standpoint: A case study in Shenzhen, China

Li, Mingxiao; Tu, Wei; Tong, Huan; Cao, Jinzhou; Zhong, Chen; Zhang, Hengcai; Zhu, Jiasong; (2024) Quantifying the nighttime economy–housing separation from a human activity standpoint: A case study in Shenzhen, China. Cities , 148 , Article 104894. 10.1016/j.cities.2024.104894.

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Abstract

Disparities between the supply of nighttime economic services and the demand of local residents have caused a series of problems. By linking massive mobile phone data and an anchor-based activity inference algorithm, we propose a data-driven framework to quantify the separate development of the nighttime economy and housing from a human activity standpoint. The framework includes three perspectives: individual travel distance, imbalance ratio distribution, and the spatial structure of the nighttime economy–housing interactions. Using the city of Shenzhen as the case study area, we explored the corresponding nighttime economy–housing separation patterns. A series of comparative analyses with the job-housing separation were conducted for comparison. The analysis results indicate that the separate development of the nighttime economy and housing is a common and alarming phenomenon. Over 15 % of the nighttime economic activities occurred over 5 km from the residents' homes. Residents preferred to conduct their nighttime economic activities closer to home than commuting for the same. Residents' nighttime economic activities have formed a relatively fixed spatial structure. The possible causes are explored in terms of economic development, scale effects, and administrative divisions. This study contributes to a more holistic understanding of the nighttime economy. Our findings can promote the nighttime economy development and inform urban renewal policy.

Type: Article
Title: Quantifying the nighttime economy–housing separation from a human activity standpoint: A case study in Shenzhen, China
DOI: 10.1016/j.cities.2024.104894
Publisher version: https://doi.org/10.1016/j.cities.2024.104894
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Nighttime economy; Nighttime economy–housing separation; Human activity; Mobile phone data
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Centre for Advanced Spatial Analysis
URI: https://discovery.ucl.ac.uk/id/eprint/10189617
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